Title: CT-based Radiomics Signature for Differentiating Borrmann Type IV Gastric Cancer from Primary Gastric Lymphoma
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| Authors: Ma, ZL; Fang, MJ; Huang, YQ; He, L; Chen, X; Liang, CS; Huang, XM; Cheng, ZX; Dong, D; Liang, CH; Xie, JJ; Tian, J; Liu, ZY
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| Author Full Names: Ma, Zelan; Fang, Mengjie; Huang, Yanqi; He, Lan; Chen, Xin; Liang, Cuishan; Huang, Xiaomei; Cheng, Zixuan; Dong, Di; Liang, Changhong; Xie, Jiajun; Tian, Jie; Liu, Zaiyi
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| Source: EUROPEAN JOURNAL OF RADIOLOGY, 91 142-147; 10.1016/j.ejrad.2017.04.007 JUN 2017
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| Language: English
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| Abstract: Purpose: To evaluate the value of CT-based radiomics signature for differentiating Borrmann type IV gastric cancer (GC) from primary gastric lymphoma (PGL). Materials and methods: 40 patients with Borrmann type IV GC and 30 patients with PGL were retrospectively recruited. 485 radiomics features were extracted and selected from the portal venous CT images to build a radiomics signature. Subjective CT findings, including gastric wall peristalsis, perigastric fat infiltration, lymphadenopathy below the renal hila and enhancement pattern, were assessed to construct a subjective findings model. The radiomics signature, subjective CT findings, age and gender were integrated into a combined model by multivariate analysis. The diagnostic performance of these three models was assessed with receiver operating characteristics curves (ROC) and were compared using DeLong test. Results: The subjective findings model, the radiomics signature and the combined model showed a diagnostic accuracy of 81.43% (AUC [area under the curve], 0.806; 95% CI [confidence interval]: 0.696-0.917; sensitivity, 63.33%; specificity, 95.00%), 84.29% (AUC, 0.886 [95% CI: 0.809-0.963]; sensitivity, 86.67%; specificity, 82.50%), 87.14% (AUC, 0.903 [95% CI: 0.831-0.975]; sensitivity, 70.00%; specificity, 100%), respectively. There were no significant differences in AUC among these three models (P = 0.051-0.422). Conclusion: Radiomics analysis has the potential to accurately differentiate Borrmann type IV GC from PGL.
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| ISSN: 0720-048X
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| eISSN: 1872-7727
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| IDS Number: FA3RD
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| Unique ID: WOS:000405361200021
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| PubMed ID: 28629560
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